• Design, develop, and maintain RESTful APIs and microservices using Python. • Integrate and support Pindrop solutions including authentication, fraud detection workflows, and SDK/API usage. • Architect secure, scalable, and high-performance backend applications. • Integrate backend services with relational and NoSQL databases such as PostgreSQL, MySQL, MongoDB, and DynamoDB. • Write clean, efficient, testable code following best practices for performance, maintainability, and security. • Design and deploy cloud-native applications using AWS services including EC2, Lambda, S3, RDS, DynamoDB, API Gateway, and IAM. • Implement and maintain CI/CD pipelines using GitHub Actions or GitLab CI. • Set up monitoring, logging, and observability using CloudWatch, CloudTrail, and Splunk logging. • Collaborate on infrastructure automation using CloudFormation and Terraform. • Integrate solutions with AWS services like Lambda. • Use of AI-assisted coding in development workflows. • Assist in migration projects from legacy contact center platforms to Amazon Connect. • Contribute to frontend work (React/Angular/Vue) when needed and ensure smooth integration with backend APIs.

• Work on enterprise-scale platforms alongside a collaborative, self-organized team • Join an enterprise-scale product team for complex, event-driven backend systems • Engage in architecture discussions and technical decisions • Utilize a modern tech stack including .NET 8, AWS SNS/SQS, and Kafka.

• Take ownership of cloud infrastructure. • Contribute to architectural decisions. • Collaborate with multidisciplinary teams to design secure, scalable, and resilient cloud platforms. • Mentor engineers, improve operational excellence, and promote DevOps best practices across the software delivery lifecycle. • Work on modern cloud-native platforms hosted on Amazon Web Services (AWS). • Support the full infrastructure lifecycle using Infrastructure as Code and CI/CD automation. • Emphasize reliability, observability, security, and scalability in the environment. • Collaborate with engineering teams, technical leadership, and business stakeholders in an international environment. • Be adaptable to occasional national and international travel (estimated up to 15%).

Job Title & Specialty Area: Principal Cloud Data Architect (Microsoft Fabric and Azure) Location: Dallas United States Job Description: Department: Advanced Analytics Location: Dallas, TX Shift: 8:00 am to 5:00 pm Job Type: Remote Why Children's Health? At Children's Health, our mission is to Make Life Better for Children, and we recognize that their health plays a crucial role in achieving this goal. Through our cutting-edge treatments and affiliation with UT Southwestern, we strive to deliver an extraordinary patient and family experience, ensuring that every moment, big or small, contributes to their overall well-being. Our dedication to promoting children's health extends beyond our organization and encompasses the broader community. Together, we can make a significant difference in the lives of children and contribute to a brighter and healthier future for all. Summary: The Principal Cloud Solution Data Architect designs, develops, and implements scalable, secure, and high performance data solutions, integrating source systems, data stores, interfaces, and cloud infrastructure. This role involves analyzing business requirements, creating system-level data architectures, and leveraging cloud-native technologies to optimize performance, scalability, and maintainability. The architect ensures seamless integration of enterprise-wide data while designing solutions that align with cloud best practices, including containerization, microservices, and serverless architectures. As a technical leader, the architect collaborates with cross-functional teams enterprise-wide, troubleshoots reporting, products, and data issues, and guides development teams in full-stack and cloud-native development best practices. They research emerging technologies, create reusable frameworks, document technical designs, and ensure data systems are designed for efficient deployment and management in cloud environments. This role is critical and has ultimate oversight in delivering innovative, cloud-optimized data and artificial intelligence (AI) products aligned with business goals. Responsibilities: Technical Leadership: - Define and deliver high-level cloud medallion data architecture that empowers enterprise-wide analytics and AI solutions to address business objectives and balance scalability, performance, and security - Mentor and advise data professionals (engineers and analysts) within Enterprise Data Analytics, Information Services, and operational analytics teams, championing best practices in healthcare cloud data architecture, data and AI product development, standard operating procedures (SOPs), DevOps, and SDLC throughout the organization and enabling growth across teams - Translate architectural designs into actionable tasks for development teams - Evaluate, select, and implement emerging technologies (e.g., data mesh, GenAI data stack, lakehouse evolution) that meet the unique demands of Children's Health, with foresight for future scalability and interoperability Collaboration and Communication: - Work with stakeholders, including product owners, business analysts, and project managers, to ensure technical solutions meet business and user needs. - Coordinate with cross-functional teams to ensure successful integration of data and components System Design and Development: - Lead the design and integration data from source applications (e.g. electronic health records, enterprise resource planning, and other health information systems), leveraging API, ELT (extract, load, and transform), and cloud-based infrastructure - Make architecture decisions that align with long-term organizational goals and industry best practices, using systems performance and process modeling to establish a robust foundation - Leverage expertise in software engineering practices, back-end technologies, databases, data development/engineering, and artificial intelligence/machine learning engineering to build robust solutions - Ensure solutions align with industry best practices for user experience, security, integrity, patient privacy, regulatory compliance, and quality Project Management: - Develop and communicate project estimates and work plans, ensuring tasks and deliverables adhere to schedules and budgets - Manage cross-functional teams and align project execution with organizational objectives - Align project goals with agile methodologies such as Scrum and Kanban - Communicate progress to stakeholders and adjust plans to meet evolving requirements Documentation and Technical References: - Produce and maintain detailed documentation of design components, including technical designs, program specifications, and interim components - Produce and maintain comprehensive documentation of data architecture frameworks, policies, and procedures for transparency and accountability - Prepare operational manuals, technical references, security policies, and user training materials to support system deployment and maintenance System Monitoring and Maintenance: - Oversee data, analytics, and AI operating environments across production, UAT, QA, and development systems or bronze, silver, and gold layers of cloud platform. - Perform regular system upgrades, patches, and performance-tuning enhancements to ensure optimal functionality and reliability - Monitor the performance of solutions within the cloud data platform and strategize optimization measures to consistently improve system or query performance, decrease processing time, reduce costs, and enhance overall productivity Collaboration and Communication: - Collaborate with business and clinical stakeholders, directors, managers, analytics and data science teams, and informatics specialists to communicate data and AI architectural concepts and technical strategies - Build and maintain strong relationships with stakeholders by providing technical guidance and addressing concerns effectively - Lead the enterprise data architecture and innovation roadmap, aligned with Children's Health's business and technology strategy - Guide engineering, product, security, and compliance leaders to ensure data platform supports real-time analytics, ML/AI, and regulatory needs How You'll Be Successful: WORK EXPERIENCE - At least 10 years hands-on experience in data extraction, data architecture, data administration, data modeling, data management, BI, with heavy focus on data warehousing and ELT technologies EDUCATION - Four-year Bachelor's degree or equivalent experience required - Graduate or professional work or advanced degree; or equivalent experience preferred LICENSES AND CERTIFICATIONS - Data architecture certification (e.g. SnowPro, Advanced Architect, Microsoft Azure Data Architect, AWS, Certified Solutions Architect, Google Professional Data Engineer, or healthcare IT certifications) required within 180 Days of hire - Denodo preferred A Place Where You Belong We put our people first. We welcome, value, and respect the beliefs, identities and experiences of our patients and colleagues. We are committed to delivering culturally effective care, creating meaningful partnerships in the communities we serve, and equipping and developing our team members to make Children's Health a place where everyone can contribute. Holistic Benefits - How We'll Care for You: - Employee portion of medical plan premiums are covered after 3 years. - 4%-10% employee savings plan match based on tenure - Paid Parental Leave (up to 12 weeks) - Caregiver Leave - Adoption and surrogacy reimbursement As an equal opportunity employer, Children's Health does not discriminate against employees or applicants because of race, color, religion, sex, gender identity and expression, sexual orientation, age, national origin, veteran or military status, disability, or genetic information or any other Federal or State legally-protected status or class. This applies to all aspects of the employer-employee relationship including but not limited to recruitment, hiring, promotion, transfer pay, training, discipline, workforce adjustments, termination, employee benefits, and any other employment-related activity.